#USAIStocksRally

The AI trade on Wall Street is roaring back to life, and the numbers from June 8 tell the story in vivid detail. After a brutal Friday selloff that wiped over 1.2 trillion dollars in market value from U.S. semiconductor stocks and sent the Nasdaq Composite to its largest single-day point drop ever, the chip sector staged a powerful rebound that caught many traders off guard. The Philadelphia Semiconductor Index surged nearly 6 percent, reclaiming a significant chunk of the prior session's losses and signaling that the AI infrastructure thesis still commands deep conviction among investors. This was not a quiet bounce; it was a loud, aggressive re-entry by institutions and retail traders alike who viewed Friday's panic as an overreaction rather than a turning point.
Intel emerged as the standout performer of the session, climbing over 11 percent after reports surfaced that Google has placed orders for Intel to manufacture more than 3 million TPU chips by 2028, following extensive testing of its advanced packaging systems. Even more significant, Nvidia is reportedly running early trials of Intel's 18A process and evaluating complex multi-chip designs. This dual validation from two of the most influential AI companies on Earth has reshaped perceptions of Intel's foundry ambitions, suggesting it may genuinely compete with TSMC for advanced manufacturing contracts. Intel's shares have already surged more than 220 percent over the past six months, and this latest development reinforces the narrative that the company's turnaround is gaining structural momentum, not just speculative hype.
Micron Technology bounced approximately 9.87 percent, driven by Nvidia's approval of its high-bandwidth memory chips for AI GPU production. Nvidia CEO Jensen Huang, speaking from South Korea, reinforced the bullish case for memory companies by describing the AI supply crunch as a multi-year condition and calling AI-related stocks "very cheap right now" after Friday's sell-off. Wells Fargo raised its price target on Micron from 550 to 1,220 dollars, underscoring the analyst community's confidence that memory demand will remain elevated for years as AI data centers scale rapidly. The memory shortage narrative is no longer a quarterly concern; it is being framed as a structural, multi-year bottleneck that benefits companies like Micron and SanDisk disproportionately.
Nvidia itself advanced 1.73 percent, supported by a newly announced partnership with SK Hynix for advanced memory integration into its AI factory buildout, alongside broader partnerships in South Korea with LG, Doosan, SK Telecom, and Hyundai targeting cloud, robotics, and factory applications. While Nvidia's move was modest compared to Intel and Micron, it reflects the company's continued expansion of its ecosystem dominance, locking in supply agreements and deployment partnerships that ensure long-term revenue visibility. Marvell Technology jumped nearly 9 percent on news that it will join the S&P 500, replacing Campbell's, a milestone that reflects its growing importance in the custom AI chip design space. Broadcom, which triggered Friday's selloff by not raising its AI chip guidance beyond 16 billion dollars for the current quarter, still managed a 3 percent rebound as investors recalibrated their expectations.
The broader context matters. Friday's crash was catalyzed by Broadcom's decision to hold its AI outlook steady at 16 billion dollars versus buy-side expectations of 17 billion, which triggered a cascade of selling that erased 1.8 trillion dollars from the S&P 500 and ended a nine-week winning streak. But Monday's rebound shows the market distinguished between a single company's conservative guidance and the fundamental health of the AI trade. Citigroup raised its 2026-end S&P 500 target to cross 8,000, citing corporate earnings resilience and AI-driven growth. Easing tensions in the Middle East also reduced geopolitical risk premia, allowing capital to flow back into growth-oriented sectors.
Discussion Question 1: Share your AI-related U.S. stocks holdings and trading thesis.
My answer: I hold positions in Micron and Intel, both acquired during earlier dips. My thesis for Micron is centered on the structural memory shortage that Jensen Huang explicitly described as a multi-year condition. With Nvidia validating Micron's HBM chips and Wells Fargo raising its target to 1,220 dollars, the revenue pipeline is increasingly visible and backed by concrete orders, not just projections. For Intel, my thesis is built on the foundry transformation narrative. The Google TPU order for 3 million units by 2028 and Nvidia's 18A process trials represent tangible demand signals that Intel's manufacturing capabilities are being taken seriously by the industry's largest players. My entry points were chosen during moments of sentiment weakness, specifically after broader chip selloffs, because I believe the AI infrastructure buildout is a multi-year structural trend where temporary volatility creates opportunity rather than risk.
Discussion Question 2: Are you bullish on AI stocks going forward? Share your outlook.
My answer: Yes, I remain structurally bullish on AI stocks, but with a more selective approach than the blanket optimism that dominated early 2026. The AI trade is maturing, and the market is beginning to differentiate between companies with proven demand pipelines and those riding narrative momentum. Friday's selloff was a healthy correction that flushed out overleveraged positions and reset expectations. The rebound on Monday confirmed that capital is still available and willing to re-enter at lower levels, which is the hallmark of a sustainable trend, not an exhausted one. I expect the second half of 2026 to reward companies with confirmed orders, supply agreements, and ecosystem partnerships, such as Intel's foundry deals, Micron's HBM validation, and Nvidia's SK Hynix integration. Companies that rely solely on forward projections without concrete backing may face more scrutiny. The memory segment in particular stands out as the tightest bottleneck in the AI supply chain, and I believe Micron and SanDisk will continue to outperform as that bottleneck persists for the next several years.
The AI trade is not over. It is simply becoming more discriminating, and that is ultimately a healthier dynamic for sustained growth.